Nataša Nešković

836 total citations
63 papers, 576 citations indexed

About

Nataša Nešković is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Nataša Nešković has authored 63 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Nataša Nešković's work include Millimeter-Wave Propagation and Modeling (18 papers), Power Line Communications and Noise (16 papers) and Advanced MIMO Systems Optimization (15 papers). Nataša Nešković is often cited by papers focused on Millimeter-Wave Propagation and Modeling (18 papers), Power Line Communications and Noise (16 papers) and Advanced MIMO Systems Optimization (15 papers). Nataša Nešković collaborates with scholars based in Serbia, United Kingdom and Bosnia and Herzegovina. Nataša Nešković's co-authors include Aleksandar Nešković, D. Budimir, Nikola Tomašević, Nebojša Maletić, Aleksandar Nikolić, Jelena Mladenović, Katharina Hofer-Schmitz, Branka Stojanović, Igor Kuzle and Milan M. Ilić and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Nataša Nešković

58 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nataša Nešković Serbia 13 435 159 110 47 46 63 576
İbrahim Develı Türkiye 13 466 1.1× 264 1.7× 104 0.9× 51 1.1× 22 0.5× 88 588
Philip Constantinou Greece 14 491 1.1× 227 1.4× 270 2.5× 36 0.8× 30 0.7× 98 725
Ziwei Huang China 14 440 1.0× 90 0.6× 248 2.3× 22 0.5× 3 0.1× 48 616
Gouranga Charan United States 10 365 0.8× 64 0.4× 147 1.3× 55 1.2× 5 0.1× 21 518
Navin Kumar India 12 510 1.2× 111 0.7× 41 0.4× 52 1.1× 7 0.2× 89 645
Rui Feng China 12 662 1.5× 64 0.4× 286 2.6× 16 0.3× 4 0.1× 49 816
Hafiz M. Asif Pakistan 13 345 0.8× 68 0.4× 59 0.5× 28 0.6× 3 0.1× 41 422
Meixia Fu China 9 381 0.9× 52 0.3× 26 0.2× 167 3.6× 8 0.2× 20 574
Evangelos Mellios United Kingdom 14 410 0.9× 185 1.2× 160 1.5× 19 0.4× 3 0.1× 66 562
Abhishek Thakur India 10 72 0.2× 32 0.2× 47 0.4× 50 1.1× 22 0.5× 63 344

Countries citing papers authored by Nataša Nešković

Since Specialization
Citations

This map shows the geographic impact of Nataša Nešković's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nataša Nešković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataša Nešković more than expected).

Fields of papers citing papers by Nataša Nešković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nataša Nešković. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nataša Nešković. The network helps show where Nataša Nešković may publish in the future.

Co-authorship network of co-authors of Nataša Nešković

This figure shows the co-authorship network connecting the top 25 collaborators of Nataša Nešković. A scholar is included among the top collaborators of Nataša Nešković based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nataša Nešković. Nataša Nešković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nešković, Nataša, et al.. (2023). Efficient Neural Network DPD Architecture for Hybrid Beamforming mMIMO. Electronics. 12(3). 597–597. 3 indexed citations
2.
Nešković, Nataša, et al.. (2018). Protect Corporate Networks from DDoS Attacks Using Arbor Technology. 1–4.
3.
Nešković, Aleksandar, et al.. (2018). Cybersecurity of improved fiscal devices. 1–4. 4 indexed citations
4.
Nešković, Nataša, et al.. (2016). Experimental performance analysis of THE 2G/3G/4G public mobile network. 1–4. 5 indexed citations
5.
Tomašević, Nikola, Aleksandar Nešković, & Nataša Nešković. (2016). Correlated EEG Signals Simulation Based on Artificial Neural Networks. International Journal of Neural Systems. 27(5). 1750008–1750008. 6 indexed citations
6.
Nešković, Nataša, et al.. (2015). Statistical analysis of electromagnetic radiation measurements in the vicinity of GSM/UMTS base station installed on buildings in Serbia. Radiation Protection Dosimetry. 168(4). 489–502. 29 indexed citations
7.
Nešković, Nataša, et al.. (2015). Optimization of routing protocols and metrics for multi-channel multi-interface wireless mesh networks. 153–160. 1 indexed citations
8.
Nešković, Aleksandar, et al.. (2015). Conversion from mono-axial to isotropic measurements for assessing human exposure to electromagnetic fields of GSM/DCS/UMTS base stations. Annals of Telecommunications. 70(9-10). 407–414. 2 indexed citations
9.
Nešković, Aleksandar, et al.. (2015). Dynamic k nearest neighbours model for mobile user indoor positioning. 165–168. 4 indexed citations
10.
Nešković, Nataša, et al.. (2014). A new quality of service aware multi-channel multi-interface link layer protocol for wireless mesh networks. Wireless Networks. 21(3). 727–738. 7 indexed citations
11.
Nešković, Nataša, et al.. (2014). Joint power amplifier and I/Q modulator impairments modelling and compensation for LTE transmitters using artificial neural networks. AEU - International Journal of Electronics and Communications. 69(2). 529–538. 11 indexed citations
12.
Nešković, Nataša, et al.. (2013). Statistical analysis of electromagnetic radiation measurements in the vicinity of GSM/UMTS base station antenna masts. Radiation Protection Dosimetry. 158(3). 263–275. 13 indexed citations
13.
Nešković, Nataša, et al.. (2013). A Generalized 2-D Linearity Enhancement Architecture for Concurrent Dual-Band Wireless Transmitters. IEEE Transactions on Microwave Theory and Techniques. 61(12). 4579–4590. 19 indexed citations
14.
Tomašević, Nikola, Aleksandar Nešković, & Nataša Nešković. (2013). Artificial neural network based simulation of correlated short-term fading. AEU - International Journal of Electronics and Communications. 68(4). 301–311. 4 indexed citations
15.
Nešković, Nataša, et al.. (2012). Adaptive nonlinearity compensation technique for 4G wireless transmitters. Electronics Letters. 48(20). 1308–1309. 15 indexed citations
16.
Nešković, Nataša, et al.. (2011). An Empirical Study of the EDCA QoS Mechanism for Voice over WLAN. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Nešković, Nataša, et al.. (2011). Improving the efficiency of measurement procedures for assessing human exposure in the vicinity of mobile phone (GSM/DCS/UMTS) base stations. Radiation Protection Dosimetry. 149(3). 238–244. 11 indexed citations
18.
Tomašević, Nikola, Aleksandar Nešković, & Nataša Nešković. (2009). Short-term fading simulator based on artificial neural networks. 1681–1688. 2 indexed citations
19.
Nešković, Aleksandar & Nataša Nešković. (2009). Microcell electric field strength prediction model based upon artificial neural networks. AEU - International Journal of Electronics and Communications. 64(8). 733–738. 17 indexed citations
20.
Nešković, Aleksandar, et al.. (2000). Indoor electric field level prediction model based on the artificial neural networks. IEEE Communications Letters. 4(6). 190–192. 50 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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